Data is more powerful when we share it with others! Created a dashboard uisng HTML and CSS to showcase the analysis done.
- Created a visualization dashboard website using HTML and CSS for the weather data.
- For building this dashboard, I created individual pages for each plot and a means by which it can be navigated. These pages will contain the visualizations and their corresponding explanations. I also have a landing page, a page where we can see a comparison of all of the plots, and another page where we can view the data used to build them.
The website consists of 7 pages total including:
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A landing page containing:
- An explanation of the project.
- Links to each visualizations page.
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Four visualization pages, each with:
- A descriptive title and heading tag.
- The plot/visualization itself for the selected comparison.
- A paragraph describing the plot and its significance.
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A "Comparisons" page that:
- Contains all of the visualizations on the same page so we can easily visually compare them.
- Uses a bootstrap grid for the visualizations.
- The grid has two visualizations across on screens medium and larger, and 1 across on extra-small and small screens.
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A "Data" page that:
- Displays a responsive table containing the data used in the visualizations.
- The table is a bootstrap table component.
- The data was exported from the .csv file as HTML using pandas.
- Displays a responsive table containing the data used in the visualizations.
The website, at the top of every page, has a navigation menu that:
- Has the name of the site on the left of the nav which allows users to return to the landing page from any page.
- Contains a dropdown on the right of the navbar named "Plots" which provides links to each individual visualization page.
- Provides two more links on the right: "Comparisons" which links to the comparisons page, and "Data" which links to the data page.
- Is responsive (using media queries).
The website is deployed to GitHub pages
HTML, CSS, Bootstrap, VSCode, GitHub, GitHub pages.